app.py

import gradio as gr
from fastapi import FastAPI
import uvicorn

# Create a FastAPI app
app = FastAPI()

# Create Gradio interface (just like in Hugging Face Spaces)
def classify_emotion(text):
    # Your model code here (replace this with the actual classification)
    return "happy"  # example return value

gradio_interface = gr.Interface(fn=classify_emotion, inputs="text", outputs="text")

# Mount the Gradio app inside FastAPI
app.mount("/gradio", gradio_interface)

if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=7860)